Results 81 to 90 of about 227,775 (206)

perfectphyloR: An R package for reconstructing perfect phylogenies

BMC Bioinformatics, 2019
Background A perfect phylogeny is a rooted binary tree that recursively partitions sequences. The nested partitions of a perfect phylogeny provide insight into the pattern of ancestry of genetic sequence data.
Charith B. Karunarathna, Jinko Graham
doaj   +1 more source

Applications of the Quantile-Based Probabilistic Mean Value Theorem to Distorted Distributions [PDF]

Distorted distributions were introduced in the context of actuarial science for several variety of insurance problems. In this paper we consider the quantile-based probabilistic mean value theorem given in Di Crescenzo et al. [4] and provide some applications based on distorted random variables.
arxiv   +1 more source

Distributional Refinement Network: Distributional Forecasting via Deep Learning [PDF]

arXiv
A key task in actuarial modelling involves modelling the distributional properties of losses. Classic (distributional) regression approaches like Generalized Linear Models (GLMs; Nelder and Wedderburn, 1972) are commonly used, but challenges remain in developing models that can (i) allow covariates to flexibly impact different aspects of the ...
arxiv  

Rethinking Representations in P&C Actuarial Science with Deep Neural Networks

, 2021
Christopher Blier-Wong, Jean-Thomas Baillargeon, Hélène Cossette, Luc Lamontagne, Étienne Marceau   +4 more
openalex   +2 more sources

Evaluating key predictors of breast cancer through survival: a comparison of AFT frailty models with LASSO, ridge, and elastic net regularization

BMC Cancer
Background Frailty models are extensively utilized in survival analysis to address unobserved heterogeneity among individuals. However, selecting the most robust model for survival prediction, especially in the context of high-dimensional data, continues
Senyefia Bosson-Amedenu, Emmanuel Ayitey, Francis Ayiah-Mensah, Luyton Asare   +3 more
doaj   +1 more source

What data science means for the future of the actuarial profession [PDF]

, 2018

openalex   +1 more source

Application of Hierarchical/Multilevel Models and Quality of Reporting (2010–2020): A Systematic Review

The Scientific World Journal
Introduction. Multilevel models have gained immense popularity across almost every discipline due to the presence of hierarchy in most data and phenomena.
Killian Asampana Asosega, Atinuke Olusola Adebanji, Eric Nimako Aidoo, Ellis Owusu-Dabo   +3 more
doaj   +1 more source

Assessing the causal effects of type 2 diabetes and obesity-related traits on COVID-19 severity

Human Genomics
Background Type 2 diabetes (T2D) and obesity-related traits are highly comorbid with coronavirus disease 2019 (COVID-19), but their causal relationships with disease severity remain unclear.
Jieun Seo, Gaeun Kim, Seunghwan Park, Aeyeon Lee, Liming Liang, Taesung Park, Wonil Chung   +6 more
doaj   +1 more source

From Point to probabilistic gradient boosting for claim frequency and severity prediction [PDF]

arXiv
Gradient boosting for decision tree algorithms are increasingly used in actuarial applications as they show superior predictive performance over traditional generalised linear models. Many enhancements to the first gradient boosting machine algorithm exist.
arxiv  

Type 2 diabetes and its genetic susceptibility are associated with increased severity and mortality of COVID-19 in UK Biobank

Communications Biology
Type 2 diabetes (T2D) is known as one of the important risk factors for the severity and mortality of COVID-19. Here, we evaluate the impact of T2D and its genetic susceptibility on the severity and mortality of COVID-19, using 459,119 individuals in UK ...
Aeyeon Lee, Jieun Seo, Seunghwan Park, Youngkwang Cho, Gaeun Kim, Jun Li, Liming Liang, Taesung Park, Wonil Chung   +8 more
doaj   +1 more source